| Title |
Adherence-resistance relationships to combination HIV antiretroviral therapy
|
|---|---|
| Published in |
Current HIV/AIDS Reports, April 2007
|
| DOI | 10.1007/s11904-007-0010-0 |
| Pubmed ID | |
| Authors |
David R. Bangsberg, Deanna L. Kroetz, Steven G. Deeks |
| Abstract |
Early views on the relationship between adherence and resistance postulated a bell-shaped relationship that balanced selective drug pressure and improved viral suppression along a continuum of adherence. Although this conceptual relationship remains valid, recent data suggest that each regimen class may have different adherence-resistance relationships. These regimen-specific relationships are a function of the capacities of resistant virus to replicate at different levels of drug exposure, which are largely, but not entirely, determined by the impact of mutations on susceptibility of the virus and the impact of the mutations on the inherent ability of the virus to replicate efficiently. Specific patterns of adherence, such as treatment discontinuations, may influence adherence-resistance relationship to combination regimens comprised of medications with differing half-lives. Host genomics that alters antiretroviral drug distribution and metabolism may also impact adherence-resistance relationships. Optimal antiretroviral regimens should be constructed such that there is little overlap in the window of adherence that selects for antiretroviral drug resistance. |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 2 | 2% |
| United States | 1 | 1% |
| Kenya | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 92 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Student > Master | 16 | 16% |
| Student > Doctoral Student | 9 | 9% |
| Researcher | 8 | 8% |
| Other | 8 | 8% |
| Other | 17 | 18% |
| Unknown | 18 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 32% |
| Nursing and Health Professions | 10 | 10% |
| Agricultural and Biological Sciences | 8 | 8% |
| Computer Science | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 18 | 19% |
| Unknown | 24 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 May 2021.
All research outputs
#3,787,376
of 25,392,205 outputs
Outputs from Current HIV/AIDS Reports
#86
of 475 outputs
Outputs of similar age
#9,783
of 86,144 outputs
Outputs of similar age from Current HIV/AIDS Reports
#1
of 5 outputs
Altmetric has tracked 25,392,205 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 475 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 86,144 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them